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NBRHD TWINSPATIAL HOME PASSPORTLaunch demo

EPIC MEGAGRANTS PROJECT

NBRHD
Twin

Robot-captured spatial passports for real homes.

We combine photorealistic spatial capture, structured Unreal Engine scenes and property data so a home can be explored, understood and reimagined.

Watch project overviewLaunch interactive prototype

Live web prototype · Early Unreal Engine proof · Robot-assisted capture in development

CONCEPT VISUALIZATION

01 / CURRENT PROOF

From a working product prototype to an interactive Unreal Engine scene

The project already combines a live property-discovery interface, real-space capture and an early structured Unreal Engine reconstruction.

LIVE WEB PROTOTYPE

Neighborhood and property experience

A working web prototype for neighborhood-level property discovery, context and the move from map to immersive 3D exploration.

Launch prototype
REAL-WORLD CAPTURE

A physical room captured from a regular walkthrough

We recorded a real laboratory — entrance, furniture, windows and room layout — as the source for our reconstruction experiments.

EARLY UNREAL ENGINE PROOF

A structured and interactive digital scene

The same room, rebuilt as an early Unreal Engine environment with first-person navigation, structured geometry and interactive doors.

Early structured reconstruction — a white-box engineering proof, not a final photorealistic twin.

02 / THE IDEA

Photorealistic enough to experience.
Structured enough to edit.

  1. Photorealistic capture layer

    Gaussian splats preserve the real appearance, lighting, materials and visual detail of the property.

  2. Structured Unreal Engine layer

    Rooms, walls, openings, doors, furniture and surfaces become navigable, interactive and editable.

  3. Property data layer

    Measurements, orientation, sunlight, views, access, travel times and neighborhood context.

PHOTOREAL SPLATSTRUCTURED UNREAL SCENEPROPERTY DATASPATIAL HOME PASSPORT
We are building a hybrid twin: photorealistic splats for appearance, with a structured Unreal Engine layer for interaction, staging and renovation.

03 / ROBOT-TO-UNREAL PIPELINE

Robot-assisted capture

A teleoperated quadruped carries panoramic cameras, LiDAR and motion sensors through the property.

  1. 01

    Capture

    360° imagery · LiDAR · trajectory
  2. 02

    Reconstruct

    Camera alignment · geometry · semantic structure
  3. 03

    Build in Unreal Engine

    Navigation · interaction · materials · lighting
  4. 04

    Use

    Explore · understand · stage · renovate

The robot sequence is a concept visualization. The first grant milestone uses teleoperation; route replay and autonomy follow later.

04 / PRODUCT EXPERIENCE

Explore, understand, reimagine

EXPLORE

Move from the neighborhood to the grounds and interior.

UNDERSTAND

See layout, orientation, views, sunlight and surrounding context.

REIMAGINE

Test furniture, materials, staging and renovation concepts.

05 / MEGAGRANT MILESTONE

What the MegaGrant unlocks

Within six months, we will capture one real Côte d’Azur property and deliver a complete Unreal Engine vertical slice covering the home, grounds and selected neighborhood context — combining a photorealistic captured layer with structured rooms, openings, objects and property data, so users can compare Original, Staged and Renovation states. The result: a packaged Unreal Engine build, a browser-accessible review experience and a documented, anonymized sample workflow for the 3D community.
01One real property
02One repeatable capture pipeline
03One editable Unreal Engine twin
04One documented community sample

06 / FUTURE NETWORK

Toward a spatial property network

Long term, owner-controlled home passports can form a privacy-aware property network. Buyers will be able to search homes by real spatial characteristics, explore listed and off-market properties, and send qualified expressions of interest.

07 / TEAM

Built by a team experienced in physical systems, computer vision and complex 3D environments

VK

Vitalii Kapranov

PROJECT LEAD · PRODUCT & SYSTEMS

Co-founder and CTO of PowerIn.Space. Ten-plus years of R&D across applied physics, computer vision, robotics, optical systems and complex hardware-software integration.

DP

Davit Piliposyan

SCIENTIFIC LEAD · DIGITAL MODELLING

Head of M:3L Lab. Research experience in applied mathematical modelling, mechanics and machine-learning-based engineering systems.

DR

Danila Rukhovich

3D VISION & RECONSTRUCTION

Lead Researcher at M:3L and AI researcher at Google, specializing in 3D vision, point-cloud understanding, object detection and CAD reconstruction.

LK

Levon Khachatryan

SOFTWARE ARCHITECTURE & INTERACTIVE SYSTEMS

Lead Software Engineer at M:3L. Full-stack platforms, MLOps, interactive 3D and scalable cloud systems.

Professional affiliations are provided for background. NBRHD Twin is an independent project.

Physical laboratory transitioning into its digital reconstruction

NBRHD TWIN / EPIC MEGAGRANTS

From real homes
to persistent spatial assets.

Launch interactive demo Watch project overview